Machine Learning Models Demonstrate High Diagnostic Accuracy for Cardiac Amyloidosis Detection
Machine learning shows promise for diagnosing cardiac amyloidosis
Meta-analysis shows machine learning models provide high sensitivity and specificity for identifying both AL-CA and ATTR-CA in clinical sett…
New data suggests machine learning models can accurately identify types of heart disease caused by protein buildup, like transthyretin and l…
Systematic review and meta-analysis evaluates apical sparing ratio for cardiac amyloidosis detection in hypertrophy
A specific heart pattern helps spot amyloidosis but misses some cases
This systematic review and meta-analysis evaluates the diagnostic accuracy of the apical sparing ratio (ASR) derived from echocardiographic …
A new analysis shows a heart scan pattern finds amyloidosis in most people with thick heart walls, but it still misses some cases.
Machine learning model detects cardiac amyloidosis on bone scintigraphy with high accuracy
AI tool spots heart disease risk before symptoms start
This development and validation study assessed a machine learning model (Amylo-Detect) in 11,616 patients referred for bone scintigraphy.
A new AI system scans medical records to find hidden heart disease risk before symptoms appear in patients for doctors to act quickly.
Systematic review and meta-analysis evaluates RELAPS pattern diagnostic accuracy in cardiac amyloidosis
Heart Scan Trick Helps Catch Hidden Heart Disease Early
This systematic review and meta-analysis evaluates the diagnostic accuracy of the left ventricular relative apical sparing (RELAPS) pattern …
A new heart scan pattern helps doctors find hidden protein buildup in the heart muscle much faster today for patients.
Prospective study of 7T MRI black rims in hereditary Dutch-type cerebral amyloid angiopathy
Black Rims on Scans Mean Iron Buildup After Bleeding
This prospective observational study examined 20 patients with hereditary Dutch-type cerebral amyloid angiopathy (D-CAA) at Leiden Universit…
Imagine looking at a brain scan and seeing dark rings around tiny blood vessels.
Cortical Superficial Siderosis Burden Predicts Hemorrhage and Poor Outcomes After Stroke Thrombolysis
New Brain Scan Marker Predicts Bleeding Risk Before Treatment
A substudy of the AcT trial (alteplase versus tenecteplase) evaluated radiological Boston CAA criteria and constituent markers in 482 thromb…
A specific brain scan pattern predicts dangerous bleeding after clot-busting drugs, helping doctors decide who needs fast treatment to save …
Cardiac MRI parametric mapping aids cardiac amyloidosis diagnosis in advanced renal dysfunction cohorts
MRI Works for Heart Amyloid Even With Kidney Failure
This single-institution cohort study evaluated 65 patients with advanced renal dysfunction (ARD) using cardiac MRI (CMR) to diagnose cardiac…
Cardiac MRI can accurately diagnose heart amyloidosis in patients with severe kidney failure, offering a reliable option where standard scan…
Multimodality cardiac imaging aids differentiation between hypertrophic cardiomyopathy and cardiac amyloidosis
Imaging helps doctors tell apart two heart conditions causing thickened heart muscle
A narrative review synthesizes evidence on using echocardiography and cardiac MRI to distinguish hypertrophic cardiomyopathy (HCM) from card…
Heart imaging reveals distinct patterns that help doctors tell apart two thickened heart conditions requiring very different treatments.
Questions about Cardiac Amyloidosis
Which imaging tests are best for distinguishing cardiac amyloidosis from other heart issues?
Cardiac MRI with contrast and bone scintigraphy are the best tests for distinguishing cardiac amyloidosis from other heart issues, with echocardiography as a useful first screening tool.
Full answer →Can an apical sparing ratio help detect cardiac amyloidosis in my heart?
Yes, the apical sparing ratio (ASR) can help detect cardiac amyloidosis, but it is not perfect—it has moderate accuracy and should be used alongside other tests.
Full answer →